Or Patashnik

Steer diffusion models to seamlessly blend pasted objects into new contexts without prompts by selectively loosening positional encoding constraints based on saliency.

Unleash your diffusion model's inner artist: this training-free method uses a VLM to nudge image generation away from the mundane, creating surprisingly novel visuals.

Achieve semantically coherent image compositions by mixing layout-focused and appearance-focused visual representations in a diffusion model's cross-attention.